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KIROI - Artificial Intelligence Return on Invest: The AI strategy for decision-makers and managers

KIROI - Artificial Intelligence Return on Invest: The AI strategy for decision-makers and managers

Start » AI-Powered Analytics (Glossary)
23 June 2025

AI-Powered Analytics (Glossary)

4
(1118)

AI-Powered Analytics is primarily found in the fields of artificial intelligence, big data and smart data, as well as e-commerce and digital retail. The term describes the use of artificial intelligence (AI) to automatically analyse large amounts of data and gain valuable insights from it. Companies use AI-Powered Analytics to make better decisions, recognise trends early on, or optimise business processes.

Instead of analysing each dataset individually, AI can process data from different sources in real-time, recognise patterns and make predictions. This saves time and increases accuracy. A typical example: In an online shop, AI-Powered Analytics observes customer purchasing behaviour. The AI recognises which products are often bought together and makes targeted suggestions for suitable items. This allows revenue to be increased without employees constantly having to carry out analysis.

AI-powered analytics opens up new ways for companies to utilise their data better and increase customer satisfaction. For decision-makers, this means faster reactions to market changes and well-founded strategies - based on data that was often previously unused.

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transruption: The digital toolbox for
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Start » AI-Powered Analytics (Glossary)
23 June 2025

AI-Powered Analytics (Glossary)

4
(1118)

AI-Powered Analytics is primarily found in the fields of artificial intelligence, big data and smart data, as well as e-commerce and digital retail. The term describes the use of artificial intelligence (AI) to automatically analyse large amounts of data and gain valuable insights from it. Companies use AI-Powered Analytics to make better decisions, recognise trends early on, or optimise business processes.

Instead of analysing each dataset individually, AI can process data from different sources in real-time, recognise patterns and make predictions. This saves time and increases accuracy. A typical example: In an online shop, AI-Powered Analytics observes customer purchasing behaviour. The AI recognises which products are often bought together and makes targeted suggestions for suitable items. This allows revenue to be increased without employees constantly having to carry out analysis.

AI-powered analytics opens up new ways for companies to utilise their data better and increase customer satisfaction. For decision-makers, this means faster reactions to market changes and well-founded strategies - based on data that was often previously unused.

How useful was this post?

Click on a star to rate it!

Average rating 4 / 5. Vote count: 1118

No votes so far! Be the first to rate this post.

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